Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (4): 891-896.doi: 10.13229/j.cnki.jdxbgxb20200933

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Application of enhanced edge detection image algorithm in multi-book recognition

Ming LIU1,2(),Yu-hang YANG1,Song-lin ZOU1,Zhi-cheng XIAO1,Yong-gang ZHANG2   

  1. 1.School of Mathematics and Statistics，Changchun University of Technology，Changchun 130012，China
    2.Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education，Jilin University，Changchun 130012，China
  • Received:2020-12-04 Online:2022-04-01 Published:2022-04-20

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Abstract:

With the gradual increase in the amount of books borrowed， domestic libraries have basically applied the self-help borrowing and returning system， but there are still many abnormal phenomena in the process of borrowing and returning books， such as the low accuracy of the identification of many books and the inaccurate identification of the number of books. In this paper， a multi-book recognition algorithm based on enhanced edge detection is proposed. This algorithm uses the convolution kernel of 2×2 to convolve with the edge detection image， so as to enhance the line information in the image， detect the number of book edges in the image， and assist the detection of the spine edge to carry out multi-book recognition. Among them， the accuracy of single book recognition is 94.0%， that of multi-book recognition is 92.9%， and that of comprehensive recognition is 93.8%. This method has high practicability and can be used to complete multi-book recognition task.

Key words: computer application technology, edge extraction, line detection, multi-book recognition, image enhancement

CLC Number: 

  • TP183

Fig.1

Example of grayscale image and edge detection image of a single normal book"

Fig.2

Example of grayscale image and edge detection image of a single abnormal book"

Fig.3

Examples of grayscale images and edge detection images in multiple books"

Fig.4

Pre-processing step diagram"

Fig.5

Edge detection image enhancement results"

Fig.6

Filter effect diagram"

Fig.7

Projection diagram"

Fig.8

L2 and L3 are straight lines detected by proposed algorithm"

Fig.9

Book folder has obvious features"

Fig.10

Book actual area"

Fig.11

Projection diagram"

Fig.12

Image enhancement effect diagram"

Table 1

Accuracy comparison of various edge detection operators"

Canny

算子

LOG

算子

Sobel

算子

Robert

算子

单书92.06494.092.0
多书89.378.660.746.4
综合91.37082.576.3

Table 2

Accuracy results about Canny"

使用原始边缘

检测图像

使用增强的边缘

检测图像

单书92.094.0
多书89.392.9
综合91.393.8
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